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   &#160;<span id="projectnumber">18.05</span>
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      <li><a href="functions_func.xhtml#index_a"><span>a</span></a></li>
      <li><a href="functions_func_b.xhtml#index_b"><span>b</span></a></li>
      <li><a href="functions_func_c.xhtml#index_c"><span>c</span></a></li>
      <li><a href="functions_func_d.xhtml#index_d"><span>d</span></a></li>
      <li><a href="functions_func_e.xhtml#index_e"><span>e</span></a></li>
      <li><a href="functions_func_f.xhtml#index_f"><span>f</span></a></li>
      <li class="current"><a href="functions_func_g.xhtml#index_g"><span>g</span></a></li>
      <li><a href="functions_func_h.xhtml#index_h"><span>h</span></a></li>
      <li><a href="functions_func_i.xhtml#index_i"><span>i</span></a></li>
      <li><a href="functions_func_j.xhtml#index_j"><span>j</span></a></li>
      <li><a href="functions_func_k.xhtml#index_k"><span>k</span></a></li>
      <li><a href="functions_func_l.xhtml#index_l"><span>l</span></a></li>
      <li><a href="functions_func_m.xhtml#index_m"><span>m</span></a></li>
      <li><a href="functions_func_n.xhtml#index_n"><span>n</span></a></li>
      <li><a href="functions_func_o.xhtml#index_o"><span>o</span></a></li>
      <li><a href="functions_func_p.xhtml#index_p"><span>p</span></a></li>
      <li><a href="functions_func_q.xhtml#index_q"><span>q</span></a></li>
      <li><a href="functions_func_r.xhtml#index_r"><span>r</span></a></li>
      <li><a href="functions_func_s.xhtml#index_s"><span>s</span></a></li>
      <li><a href="functions_func_t.xhtml#index_t"><span>t</span></a></li>
      <li><a href="functions_func_u.xhtml#index_u"><span>u</span></a></li>
      <li><a href="functions_func_v.xhtml#index_v"><span>v</span></a></li>
      <li><a href="functions_func_w.xhtml#index_w"><span>w</span></a></li>
      <li><a href="functions_func_x.xhtml#index_x"><span>x</span></a></li>
      <li><a href="functions_func_y.xhtml#index_y"><span>y</span></a></li>
      <li><a href="functions_func_z.xhtml#index_z"><span>z</span></a></li>
      <li><a href="functions_func_0x7e.xhtml#index_0x7e"><span>~</span></a></li>
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&#160;

<h3><a class="anchor" id="index_g"></a>- g -</h3><ul>
<li>gc_buffer()
: <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#acccf4173f8c67e6f93ea3353c9590c9e">GCTensor</a>
, <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml#a78046d8dc1b472a13fe70d8862f2edaf">IGCTensor</a>
</li>
<li>GCAbsoluteDifferenceKernel()
: <a class="el" href="classarm__compute_1_1_g_c_absolute_difference_kernel.xhtml#a21d4ee8182d064fd92ed9b177ff35710">GCAbsoluteDifferenceKernel</a>
</li>
<li>GCAccessor()
: <a class="el" href="classarm__compute_1_1test_1_1_g_c_accessor.xhtml#af7752bed6faa3588f795d65a3bb34f31">GCAccessor</a>
</li>
<li>GCActivationLayerKernel()
: <a class="el" href="classarm__compute_1_1_g_c_activation_layer_kernel.xhtml#a678f75dfd5cfe14614f8072ebe1cc67d">GCActivationLayerKernel</a>
</li>
<li>GCArithmeticAdditionKernel()
: <a class="el" href="classarm__compute_1_1_g_c_arithmetic_addition_kernel.xhtml#a3e5d5909a0c86adff50e9a527272afa6">GCArithmeticAdditionKernel</a>
</li>
<li>GCBatchNormalizationLayer()
: <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer.xhtml#ae46038d0e47ec316681667900c15517c">GCBatchNormalizationLayer</a>
</li>
<li>GCBatchNormalizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#abbbf878d788fb75b9af735fd238a7553">GCBatchNormalizationLayerKernel</a>
</li>
<li>GCBufferAllocator()
: <a class="el" href="classarm__compute_1_1_g_c_buffer_allocator.xhtml#a7aca294a45514ba68243f5f09d4ee471">GCBufferAllocator</a>
</li>
<li>GCCol2ImKernel()
: <a class="el" href="classarm__compute_1_1_g_c_col2_im_kernel.xhtml#a3e3035668c6d03b9bf68dca65222b7d9">GCCol2ImKernel</a>
</li>
<li>GCConvolutionLayer()
: <a class="el" href="classarm__compute_1_1_g_c_convolution_layer.xhtml#a3f5eb5b7c01f8912b75ed6703327546d">GCConvolutionLayer</a>
</li>
<li>GCConvolutionLayerReshapeWeights()
: <a class="el" href="classarm__compute_1_1_g_c_convolution_layer_reshape_weights.xhtml#ab2cb1decf7fb2217d6f7b85c1c6b60a0">GCConvolutionLayerReshapeWeights</a>
</li>
<li>GCDepthConcatenateLayer()
: <a class="el" href="classarm__compute_1_1_g_c_depth_concatenate_layer.xhtml#a96b1abfc5ee6d10be7e8a525d6846f24">GCDepthConcatenateLayer</a>
</li>
<li>GCDepthConcatenateLayerKernel()
: <a class="el" href="classarm__compute_1_1_g_c_depth_concatenate_layer_kernel.xhtml#a7fc9a4cd38bc7e934e279ed52163fc0e">GCDepthConcatenateLayerKernel</a>
</li>
<li>GCDepthwiseConvolutionLayer3x3()
: <a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3.xhtml#a4bda9e07bd18e83b4ef18d3c7abb0632">GCDepthwiseConvolutionLayer3x3</a>
</li>
<li>GCDepthwiseConvolutionLayer3x3Kernel()
: <a class="el" href="classarm__compute_1_1_g_c_depthwise_convolution_layer3x3_kernel.xhtml#a5b01f75ce20fddeb91acf0bfb9042ba3">GCDepthwiseConvolutionLayer3x3Kernel</a>
</li>
<li>GCDeviceBackend()
: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_device_backend.xhtml#a484204d36ec103b7afbd126a02a6a4c0">GCDeviceBackend</a>
</li>
<li>GCDirectConvolutionLayer()
: <a class="el" href="classarm__compute_1_1_g_c_direct_convolution_layer.xhtml#a457c6a685b2fe36fd12dd640f6155c31">GCDirectConvolutionLayer</a>
</li>
<li>GCDirectConvolutionLayerKernel()
: <a class="el" href="classarm__compute_1_1_g_c_direct_convolution_layer_kernel.xhtml#ab55e3264789da35ae1297fefa4efed7c">GCDirectConvolutionLayerKernel&lt; kernel_size &gt;</a>
</li>
<li>GCDropoutLayer()
: <a class="el" href="classarm__compute_1_1_g_c_dropout_layer.xhtml#af6ab54ee8227bfd0abf53bba5bd04ace">GCDropoutLayer</a>
</li>
<li>GCDropoutLayerKernel()
: <a class="el" href="classarm__compute_1_1_g_c_dropout_layer_kernel.xhtml#adf240c088ca0ffcbd66a7578bda3d777">GCDropoutLayerKernel</a>
</li>
<li>GCFillBorderKernel()
: <a class="el" href="classarm__compute_1_1_g_c_fill_border_kernel.xhtml#a12fb6b653fe5096135017420a02e79b0">GCFillBorderKernel</a>
</li>
<li>GCFullyConnectedLayer()
: <a class="el" href="classarm__compute_1_1_g_c_fully_connected_layer.xhtml#ac0ce422247b7eae1a1931b9717c86ba5">GCFullyConnectedLayer</a>
</li>
<li>GCGEMM()
: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m.xhtml#a0594de1f88abc329c5cc8df318cca6c4">GCGEMM</a>
</li>
<li>GCGEMMInterleave4x4Kernel()
: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_interleave4x4_kernel.xhtml#a28bcc9be8f0ebc7b99cfdaa57e0782b2">GCGEMMInterleave4x4Kernel</a>
</li>
<li>GCGEMMMatrixAccumulateBiasesKernel()
: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_accumulate_biases_kernel.xhtml#a99ca62606534f58262f790a7979966d8">GCGEMMMatrixAccumulateBiasesKernel</a>
</li>
<li>GCGEMMMatrixAdditionKernel()
: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_addition_kernel.xhtml#a89039aa338bf8ec2b224dee5013d7fd9">GCGEMMMatrixAdditionKernel</a>
</li>
<li>GCGEMMMatrixMultiplyKernel()
: <a class="el" href="classarm__compute_1_1_g_c_g_e_m_m_matrix_multiply_kernel.xhtml#ad8d2a97f9d5033932caaddcde107e9ce">GCGEMMMatrixMultiplyKernel</a>
</li>
<li>GCIm2ColKernel()
: <a class="el" href="classarm__compute_1_1_g_c_im2_col_kernel.xhtml#aa9f940db93f2843ff4694e64177e9b49">GCIm2ColKernel</a>
</li>
<li>GCKernel()
: <a class="el" href="classarm__compute_1_1_g_c_kernel.xhtml#a4e7b1870ca694b9b2b6c4a0f50e1de3c">GCKernel</a>
</li>
<li>GCKernelLibrary()
: <a class="el" href="classarm__compute_1_1_g_c_kernel_library.xhtml#a86bdc674d5c99b1ed9e11ff56567467e">GCKernelLibrary</a>
</li>
<li>GCLogits1DNormKernel()
: <a class="el" href="classarm__compute_1_1_g_c_logits1_d_norm_kernel.xhtml#af02d2bca58bf34705212474be461512b">GCLogits1DNormKernel</a>
</li>
<li>GCLogits1DShiftExpSumKernel()
: <a class="el" href="classarm__compute_1_1_g_c_logits1_d_shift_exp_sum_kernel.xhtml#ae41006842192a2fd2ad98f3887adb06f">GCLogits1DShiftExpSumKernel</a>
</li>
<li>GCNormalizationLayer()
: <a class="el" href="classarm__compute_1_1_g_c_normalization_layer.xhtml#a0f6772d2f730cfaa60a07d172094bfb7">GCNormalizationLayer</a>
</li>
<li>GCNormalizationLayerKernel()
: <a class="el" href="classarm__compute_1_1_g_c_normalization_layer_kernel.xhtml#ae1756c03bc72b902f3becf04a2cb725c">GCNormalizationLayerKernel</a>
</li>
<li>GCNormalizePlanarYUVLayer()
: <a class="el" href="classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer.xhtml#a14de8a41191a089a72c071eda4dd501a">GCNormalizePlanarYUVLayer</a>
</li>
<li>GCNormalizePlanarYUVLayerKernel()
: <a class="el" href="classarm__compute_1_1_g_c_normalize_planar_y_u_v_layer_kernel.xhtml#a5767b9b46e4288fce05960d12d7d857c">GCNormalizePlanarYUVLayerKernel</a>
</li>
<li>GCPixelWiseMultiplicationKernel()
: <a class="el" href="classarm__compute_1_1_g_c_pixel_wise_multiplication_kernel.xhtml#adefb2f4872f4d1890ace3aad8d7be409">GCPixelWiseMultiplicationKernel</a>
</li>
<li>GCPoolingLayer()
: <a class="el" href="classarm__compute_1_1_g_c_pooling_layer.xhtml#a4b0897a9e97f3ffd1e202e20cf4404e3">GCPoolingLayer</a>
</li>
<li>GCPoolingLayerKernel()
: <a class="el" href="classarm__compute_1_1_g_c_pooling_layer_kernel.xhtml#aebe262e2f3820f872a1393b751a72a27">GCPoolingLayerKernel</a>
</li>
<li>GCProgram()
: <a class="el" href="classarm__compute_1_1_g_c_program.xhtml#aca45a2e24e9ad0a4ebaf2964589a6934">GCProgram</a>
</li>
<li>GCSoftmaxLayer()
: <a class="el" href="classarm__compute_1_1_g_c_softmax_layer.xhtml#a4c3d471a20099610ef1d617dbaf4b2d6">GCSoftmaxLayer</a>
</li>
<li>GCTensor()
: <a class="el" href="classarm__compute_1_1_g_c_tensor.xhtml#a4f2f38059311cf163fde21d2414048ee">GCTensor</a>
</li>
<li>GCTensorAllocator()
: <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#aee6bdd0d3cf57c6f2790de67c10dee8f">GCTensorAllocator</a>
</li>
<li>GCTensorHandle()
: <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_g_c_tensor_handle.xhtml#a137d77ac8b95bbf53389dab5be4377d0">GCTensorHandle</a>
</li>
<li>GCTensorShiftKernel()
: <a class="el" href="classarm__compute_1_1_g_c_tensor_shift_kernel.xhtml#ab622a0c2dba7d8b8059bc5049f48f5ff">GCTensorShiftKernel</a>
</li>
<li>GCWeightsReshapeKernel()
: <a class="el" href="classarm__compute_1_1_g_c_weights_reshape_kernel.xhtml#a29432f2725083d73e198001a805bb862">GCWeightsReshapeKernel</a>
</li>
<li>GEMMInfo()
: <a class="el" href="classarm__compute_1_1_g_e_m_m_info.xhtml#ae70403792b9c2d7bdb0c57b5258b2efd">GEMMInfo</a>
</li>
<li>GEMMReshapeInfo()
: <a class="el" href="classarm__compute_1_1_g_e_m_m_reshape_info.xhtml#aee6f5a043173c4d51c11a54db8e0f519">GEMMReshapeInfo</a>
</li>
<li>generate_convolver()
: <a class="el" href="classarm__compute_1_1_n_e_depthwise_convolution_layer3x3_kernel.xhtml#af77d9d6fcc740068192d3fca9421311f">NEDepthwiseConvolutionLayer3x3Kernel</a>
</li>
<li>get()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#aebe2d25607545d31f2b1ace6d60a81da">CLKernelLibrary</a>
, <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml#a60f9a6836b628a7171914c4afe43b4a7">CLScheduler</a>
, <a class="el" href="classarm__compute_1_1_c_l_symbols.xhtml#a98782c8297f3985321c5fa98576327b8">CLSymbols</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#aace2d80849d3f1c113153053728f2922">CPPScheduler</a>
, <a class="el" href="classarm__compute_1_1_g_c_kernel_library.xhtml#abda5f31afe32726ca4dd36d9a480d3f2">GCKernelLibrary</a>
, <a class="el" href="classarm__compute_1_1_g_c_scheduler.xhtml#ac758c6b5a7ccc31b7193cfde59c32109">GCScheduler</a>
, <a class="el" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml#a40a46217cd83c9fb540e1fed00973f5d">NDRange</a>
, <a class="el" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a3851f0b0de82d7618cf26dacbc33dbaf">BackendRegistry</a>
, <a class="el" href="classarm__compute_1_1graph_1_1_task_executor.xhtml#aec0e857c194f504758eeacd10b65f210">TaskExecutor</a>
, <a class="el" href="classarm__compute_1_1logging_1_1_logger_registry.xhtml#a56eefda612262945a6f832d1196ee720">LoggerRegistry</a>
, <a class="el" href="classarm__compute_1_1_o_m_p_scheduler.xhtml#a9571a5288c1b52189b63f9e1074768e3">OMPScheduler</a>
, <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#ac66bff5206364de49b3159e9cc9d3e58">PixelValue</a>
, <a class="el" href="classarm__compute_1_1_scheduler.xhtml#acb4f87f1831680d8d1b70e1bef06bb81">Scheduler</a>
, <a class="el" href="classarm__compute_1_1_single_thread_scheduler.xhtml#ad2239fa50e4adfc02e94407d0b846077">SingleThreadScheduler</a>
, <a class="el" href="classarm__compute_1_1strong__type_1_1_strong_type.xhtml#a73f799e2233b063893121b058004f575">StrongType&lt; T, Tag, Attributes &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#af8fbb8b386d3cce307a89002bcdbcfc9">Framework</a>
</li>
<li>get_built_programs()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a06fff433db9536097242dd9ab2188007">CLKernelLibrary</a>
</li>
<li>get_classifications()
: <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">AlexNetNetwork&lt; ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_le_net5_network.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">LeNet5Network&lt; TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_network.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">MobileNetNetwork&lt; TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionLayerFunction, ReshapeFunction, PoolingLayerFunction &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_mobile_net_v1_network.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">MobileNetV1Network&lt; TensorType, Accessor, ActivationLayerFunction, BatchNormalizationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, DepthwiseConvolutionFunction, ReshapeFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
</li>
<li>get_convolution_method()
: <a class="el" href="classarm__compute_1_1_c_l_convolution_layer.xhtml#ad6b4f6f831d314f58a3be6593326273d">CLConvolutionLayer</a>
, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml#a0c916a941e4452e28e2cd6411a246962">NEConvolutionLayer</a>
</li>
<li>get_cpu_model()
: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#a6a92d9020af0ada82f7437e7a1425224">CPUInfo</a>
</li>
<li>get_device_version()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#aef78b2e57b5203f8a184465e2da020ef">CLKernelLibrary</a>
</li>
<li>get_gl_ssbo_name()
: <a class="el" href="classarm__compute_1_1_g_c_tensor_allocator.xhtml#acb35468f30f12a68bf3c3f227d85a1df">GCTensorAllocator</a>
</li>
<li>get_image_shape()
: <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#acc474b96886b5fd500460c7b25dc84fa">AssetsLibrary</a>
</li>
<li>get_input_storage_size()
: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml#a8002726bde2404f3594fd6f1febc5eed">INEWinogradLayerTransformInputKernel&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ac500ccdb4a6ced688aa2d8ad4952d215">NEWinogradLayerTransformInputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
</li>
<li>get_kernel_path()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#ad7395c158d8e31b9af211b9bc1f65a08">CLKernelLibrary</a>
</li>
<li>get_L1_cache_size()
: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#aaa9c3be024981dcb76d45e31f7ba4812">CPUInfo</a>
</li>
<li>get_L2_cache_size()
: <a class="el" href="classarm__compute_1_1_c_p_u_info.xhtml#ae9d9d483cf960f3a82a423ced1f2a8fc">CPUInfo</a>
</li>
<li>get_matrix_stride()
: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_input_kernel.xhtml#ae25b6ed77179808984b17c39e078ad96">INEWinogradLayerTransformInputKernel&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#ae25b6ed77179808984b17c39e078ad96">INEWinogradLayerTransformOutputKernel&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#a0769fae1b815e5e48086ad25c1528dec">INEWinogradLayerTransformWeightsKernel&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_input_kernel.xhtml#ae18e3efe8200578009c1f7a15a4a2fa0">NEWinogradLayerTransformInputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#ae18e3efe8200578009c1f7a15a4a2fa0">NEWinogradLayerTransformOutputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#a07a976f4d6b4b62e2ffcea8b0dab6d9f">NEWinogradLayerTransformWeightsKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
</li>
<li>get_max_workgroup_size()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#abca336f832d730e8494049bd714df60a">ICLKernel</a>
</li>
<li>get_number_blocks()
: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#aa93a680bbd1f25e2e15d85ecebb5a573">INEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut &gt;</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a114bf30301fae775d99637797b17389d">NEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
</li>
<li>get_number_gemms()
: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a48fc5c45b359d608e068703cd61fa916">INEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut &gt;</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a30cc0c6310d217086f60f2c03bea912e">NEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
</li>
<li>get_output_shape()
: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#a10f4ee28637f13bfbfa0ec1f13972ac1">INEWinogradLayerTransformOutputKernel&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#acb7b954c56d087e3d2451f92e62eea60">NEWinogradLayerTransformOutputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
</li>
<li>get_output_storage_size()
: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_output_kernel.xhtml#af9c23bac52a4d03b1500cfd081cba624">INEWinogradLayerTransformOutputKernel&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_output_kernel.xhtml#acbbdf018ab122fbd13fd655fa678dee3">NEWinogradLayerTransformOutputKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
</li>
<li>get_output_tile_cols()
: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#af3fd02b2fb7dbbd5cc2ee0002db6ede6">INEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut &gt;</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a6a6b377891a582d87327706496a0a822">NEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
</li>
<li>get_output_tile_rows()
: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#a1c05f8339d00138dccd2127f0505220c">INEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut &gt;</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_batched_g_e_m_m_kernel.xhtml#ae960c2433b8f9a63a5bc1ea61e20f705">NEWinogradLayerBatchedGEMMKernel&lt; TIn, TOut, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
</li>
<li>get_profiler()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a0e42876589150f9ae9ad78d6446ef3b6">Framework</a>
</li>
<li>get_program()
: <a class="el" href="classarm__compute_1_1_g_c_kernel.xhtml#a0e887398d1ed8b689b857dc6be5aa206">GCKernel</a>
</li>
<li>get_program_source()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a44e90c4fa1204a708499ece56d4c82f0">CLKernelLibrary</a>
</li>
<li>get_pyramid_level()
: <a class="el" href="classarm__compute_1_1_c_l_pyramid.xhtml#af07bb423a5c0df8018b67c0e94fada02">CLPyramid</a>
, <a class="el" href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">IPyramid</a>
, <a class="el" href="classarm__compute_1_1_pyramid.xhtml#a4187fb90f552249901da9febb67d8b7a">Pyramid</a>
</li>
<li>get_target()
: <a class="el" href="classarm__compute_1_1_g_c_scheduler.xhtml#a646cd535a16835b246c3367a63d96250">GCScheduler</a>
, <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a646cd535a16835b246c3367a63d96250">ICLKernel</a>
, <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a646cd535a16835b246c3367a63d96250">IGCKernel</a>
</li>
<li>get_type()
: <a class="el" href="classarm__compute_1_1_scheduler.xhtml#ab394515f710c2aac0f132ecc0b9323d9">Scheduler</a>
</li>
<li>get_value()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#accfba41ff73f99ee744f8619f47bf413">PMU</a>
</li>
<li>get_weight_storage_size()
: <a class="el" href="classarm__compute_1_1_i_n_e_winograd_layer_transform_weights_kernel.xhtml#ad670ceec7efb9583d3ab5ae0700bf028">INEWinogradLayerTransformWeightsKernel&lt; T &gt;</a>
, <a class="el" href="classarm__compute_1_1_n_e_winograd_layer_transform_weights_kernel.xhtml#abfe717774e572988b63fdd5a69364eb9">NEWinogradLayerTransformWeightsKernel&lt; T, OutputTileRows, OutputTileCols, KernelRows, KernelCols &gt;</a>
</li>
<li>GLBufferWrapper()
: <a class="el" href="classarm__compute_1_1_g_l_buffer_wrapper.xhtml#afc8addd4fdd0f2192f5cdbfa4bd2901e">GLBufferWrapper</a>
</li>
<li>graph()
: <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_i_stream.xhtml#ab9d564f9d6113ecafc98200face036b8">IStream</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_stream.xhtml#a3babb9fefb3dff73886ad6985c2fb5ab">Stream</a>
, <a class="el" href="classarm__compute_1_1graph_1_1frontend_1_1_sub_stream.xhtml#a3babb9fefb3dff73886ad6985c2fb5ab">SubStream</a>
</li>
<li>Graph()
: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a274f7443d93573083a86839782b5093c">Graph</a>
</li>
<li>graph()
: <a class="el" href="classarm__compute_1_1graph_1_1_i_node.xhtml#aff1c67aacd9b499aa083c6ef0b72d0eb">INode</a>
</li>
<li>GraphContext()
: <a class="el" href="classarm__compute_1_1graph_1_1_graph_context.xhtml#a0e6d7bb7b4759f27f898b566aa254550">GraphContext</a>
</li>
<li>GraphManager()
: <a class="el" href="classarm__compute_1_1graph_1_1_graph_manager.xhtml#aa742e720f48c2a00c3c1d7cd2e13285c">GraphManager</a>
</li>
<li>gws_from_window()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a4b4a20e518c04e657839280cd486a85d">ICLKernel</a>
</li>
</ul>
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